2026-09-20T21:32:45Z https://www.ideals.illinois.edu/oai-pmh

oai:www.ideals.illinois.edu:2142/83421 2023-07-11 col_2142_5131 col_2142_14770 com_2142_5130 com_2142_3518 com_2142_234

2010 Liang Liu Peña-Mora, Feniosky Silvio Savarese Golparvar Fard, Mani 2015-09-25T21:04:48Z 2015-09-25T21:04:48Z 10000-01-01 2010 The resulting D4AR models overcome the challenges of current progress monitoring practice and further enable AEC professionals to conduct various decision-making tasks in virtual environments rather than the real world where it is time-consuming and costly. To that extent, the underlying hypotheses and algorithms for generation of integrated 4D as-built and as-planned models as well as automated progress monitoring are presented. Promising experimental results are demonstrated on several challenging building construction datasets under different lighting conditions and sever occlusions. This marks the D 4AR modeling approach to be the first of its kind to take advantage of existing construction photo collections for the purpose of automated monitoring and visualization of performance deviations. Unlike other methods that focus on application of laser scanners or time-lapse photography, this approach is able to use existing information without adding burden of explicit data collection on project management and reports competitive accuracies compared to those reported with laser scanners especially in presence of sever occlusions. Made available in DSpace on 2015-09-25T21:04:48Z (GMT). No. of bitstreams: 2 license.txt: 4848 bytes, checksum: 96035ab3f5e1c23cc7138a224ce498bd (MD5) 3601058.pdf: 14336214 bytes, checksum: 535a0725e497f26244a3e647925da782 (MD5) Previous issue date: 2010 Embargo set by: Seth Robbins for item 84702 Lift date: Forever Reason: Restricted to the U of I community idenfinitely during batch ingest of legacy ETDs Restricted to the U of I community idenfinitely during batch ingest of legacy ETDs U of I Only 217 p. Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2010. http://hdl.handle.net/2142/83421 (MiAaPQ)AAI3601058 eng Computer Science D4ar- 4 Dimensional Augmented Reality - Models or Automation and Interactive Visualization of Construction Progress Monitoring text Civil Engineering Civil Engineering University of Illinois at Urbana-Champaign Dissertation Ph.D.